Dose dense doxorubicin plus cyclophosphamide in a modified KEYNOTE522 regimen for triple negative breast cancer.

The KEYNOTE-522 (KN522) regimen for neoadjuvant treatment of triple negative breast cancer (TNBC) utilized q3week dosing for doxorubicin plus cyclophosphamide (AC); however, dose-dense AC (ddAC) has demonstrated superior overall survival (OS) compared to q3week AC in anthracycline and taxane-based regimens. We performed a retrospective analysis assessing the use of ddAC in KN522 and the impact of sequencing ddAC before or after carboplatin/paclitaxel (CbT) plus pembrolizumab on multiple outcomes. 128 patients with TNBC were included. Overall pathologic complete response (pCR) rate of 56%. Sequencing of ddAC vs CbT first showed no difference in pCR rate (ddAC 55% vs. CbT 58%, p = 0.77). However, ddAC first compared to CbT first correlated with a significant increase in the incidence of overall treatment delays (ddAC 70% vs. CbT 51%, p = 0.03), with cytopenias most frequent (ddAC 59% vs. CbT 31%, p = 0.001). ddAC in a modified KN522 regimen is safe, tolerable, and effective. Efficacy is comparable regardless of chemotherapy sequencing, but ddAC first is significantly associated with higher rates of treatment delays and cytopenias.

Impact of Neoadjuvant Chemoimmunotherapy on Surgical Outcomes and Time to Radiation in Triple-Negative Breast Cancer.

BACKGROUND: We examined the association between immunotherapy-containing and standard chemotherapy regimens with treatment delays and postoperative complications in stage II-III triple-negative breast cancer. The effect of immune-related adverse events (irAEs) was compared. PATIENTS AND METHODS: We compared 139 women treated with neoadjuvant pembrolizumab plus chemotherapy (KEYNOTE-522 regimen) from August 2021 to September 2022 with 287 consecutive patients who received neoadjuvant chemotherapy alone prior to July 2021 and underwent surgery. Baseline characteristics, time to treatments, and surgical complications were compared using two-sample non-parametric tests. Linear regression evaluated association of irAEs with time to surgery and radiation. Logistic regression identified factors associated with surgical complications. RESULTS: Age, body mass index, race, American Society of Anesthesiologists (ASA) class, and mastectomy rates were similar among cohorts. No clinically relevant difference in time from end of neoadjuvant treatment to surgery was observed [KEYNOTE-522: median 32 (IQR 27, 43) days; non-KEYNOTE-522: median 31 (IQR 26, 37) days; P = 0.048]. Time to radiation did not differ (P = 0.7). A total of 26 patients (9%; non-KEYNOTE-522) versus 11 (8%; KEYNOTE-522) experienced postoperative complications (P = 0.6). In the KEYNOTE-522 cohort, 59 (43%) of 137 patients experienced 82 irAEs; 40 (68%) required treatment. Older age (P = 0.018) and ASA class 4 (P = 0.007) were associated with delays to surgery after adjusting for clinical factors. Experiencing ≥ 1 irAE was associated with delay to radiation (P = 0.029). IrAEs were not associated with surgical complications (P = 0.4). CONCLUSIONS: We observed no clinically meaningful difference between times to surgery/adjuvant radiation or postoperative complications and type of preoperative chemotherapy. IrAEs were associated with delay to adjuvant radiation but not with postoperative complications or delay to surgery.

Systemic Therapy Advances for HER2-Positive and Triple Negative Breast Cancer: What the Surgeon Needs to Know.

Neoadjuvant systemic therapy (NST) was initially reserved for unresectable patients however it has been increasingly used to facilitate breast conservation, downstage the axilla, and inform adjuvant therapy decisions based on response. For patients with HER2+ and triple-negative breast cancer (TNBC), clinical trials have resulted in the ability to individualize treatment regimens. For HER2+ breast cancer, de-escalation of neoadjuvant regimens to minimize cytotoxic chemotherapy and de-escalation or escalation of adjuvant regimens based on response have been effective. For TNBC, the approval of the combination of chemotherapy plus immunotherapy in the neoadjuvant setting has resulted in a major practice shift and opened the door to many additional treatment questions including de-escalation of the chemotherapy backbone or the adjuvant regimen. For both HER2+ and TNBC, most patients are treated with NST except those with very small tumors. Efforts are also being made to optimally identify patients with T1c tumors who may benefit from more aggressive NST. For patients treated according to or enrolled in NST de-escalation trials, breast conservation (even those who become eligible based on response to NST) and sentinel lymph node biopsy when cN0 at the completion of NST are safe and feasible. Continued involvement of surgeons and multidisciplinary teams in the design and reporting of trials will streamline their adoption into clinical practice. Surgeons need to remain aware of ongoing systemic therapy trials to appropriately select patients for NST and plan for appropriate post-neoadjuvant surgical care.

At the Intersection of Intersectionality: Race and Gender Diversity Among Surgical Faculty and Trainees.

OBJECTIVE: To compare the representation of intersectional (ie, racial/ethnic and gender) identities among surgical faculty versus medical students. BACKGROUND: Health disparities are pervasive in medicine, but diverse physicians may help the medical profession achieve health equity. METHODS: Data from the Association of American Medical Colleges for 140 programs (2011/2012-2019/2020) were analyzed for students and full-time surgical faculty. Underrepresented in medicine (URiM) was defined as Black/African American, American Indian/Alaskan Native, Hispanic/Latino/Spanish Origin, or Native Hawaiian/Other Pacific Islander. Non-White included URiM plus Asian, multiracial, and non-citizen permanent residents. Linear regression was used to estimate the association of year and proportions of URiM and non-White female and male faculty with proportions of URiM and non-White students. RESULTS: Medical students were comprised of more White (25.2% vs 14.4%), non-White (18.8% vs 6.6%), and URiM (9.6% vs 2.8%) women and concomitantly fewer men across all groups versus faculty (all P < 0.01). Although the proportion of White and non-White female faculty increased over time (both P ≤ 0.001), there was no significant change among non-White URiM female faculty, nor among non-White male faculty, regardless of whether they were URiM or not. Having more URiM male faculty was associated with having more non-White female students (estimate = +14.5% students/100% increase in faculty, 95% CI: 1.0% to 8.1%, P = 0.04), and this association was especially pronounced for URiM female students (estimate = +46.6% students/100% increase in faculty, 95% CI: 36.9% to 56.3%, P < 0.001). CONCLUSIONS: URiM faculty representation has not improved despite a positive association between having more URiM male faculty and having more diverse students.

Selecting Triple Negative Breast Cancer Patients for Immunotherapy.

The approval of preoperative immunotherapy combined with chemotherapy is a practice-changing advance for patients with early-stage triple-negative breast cancer. The optimal patient selection requires careful attention to staging and balancing potential risks with expected benefits, particularly as it relates to immune-related adverse events.

Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status.

BACKGROUND: Intraoperative specimen mammography is a valuable tool in breast cancer surgery, providing immediate assessment of margins for a resected tumor. However, the accuracy of specimen mammography in detecting microscopic margin positivity is low. We sought to develop an artificial intelligence model to predict the pathologic margin status of resected breast tumors using specimen mammography. METHODS: A dataset of specimen mammography images matched with pathologic margin status was collected from our institution from 2017 to 2020. The dataset was randomly split into training, validation, and test sets. Specimen mammography models pretrained on radiologic images were developed and compared with models pretrained on nonmedical images. Model performance was assessed using sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC). RESULTS: The dataset included 821 images, and 53% had positive margins. For three out of four model architectures tested, models pretrained on radiologic images outperformed nonmedical models. The highest performing model, InceptionV3, showed sensitivity of 84%, specificity of 42%, and AUROC of 0.71. Model performance was better among patients with invasive cancers, less dense breasts, and non-white race. CONCLUSIONS: This study developed and internally validated artificial intelligence models that predict pathologic margins status for partial mastectomy from specimen mammograms. The models' accuracy compares favorably with published literature on surgeon and radiologist interpretation of specimen mammography. With further development, these models could more precisely guide the extent of resection, potentially improving cosmesis and reducing reoperations.

A Review of Immune Checkpoint Blockade for the General Surgeon.

The immune system is a complex and interconnected system that has evolved to protect its host from foreign pathogens. CD8+ T cells are a type of immune cell that can be directly lethal to tumor cells. However, their tumor killing capabilities can be inhibited by checkpoint molecules. During the last decade, the development of medications that block these checkpoint molecules has revolutionized treatment for some cancer types and indications for use continue to grow. As usage of immunotherapy increases, toxicities and adverse events unique to immunotherapy are becoming more prevalent. Here, we review the commonly targeted inhibitory molecules along with their food and drug administration-approved indications in various cancer therapeutic regimens, immunotherapy-related toxicities, and how this may impact surgical planning.

Can We Forgo Sentinel Lymph Node Biopsy in Women Aged ≥ 50 Years with Early-Stage Hormone-Receptor-Positive HER2-Negative Special Histologic Subtype Breast Cancer?

BACKGROUND: Breast cancer has significant biologic heterogeneity, which influences treatment decisions. We hypothesized that in postmenopausal women (≥ 50 years) with clinical T1-2, N0, hormone receptor positive (HR+), HER2 negative (HER2-) breast cancer of special histology (mucinous, tubular, cribriform, papillary), information from sentinel lymph node biopsy (SLNB) may not change adjuvant therapy recommendations. PATIENTS AND METHODS: We constructed a cohort from the National Cancer Database of women aged ≥ 18 years with cT1-2 N0 HR+ HER2- invasive breast cancer. We calculated the frequency of nodal positivity by histology. We measured the frequency of N2/N3 disease, the distribution of Oncotype DX 21-gene assay recurrence score (ODX RS) across special histology by nodal status, and frequency of chemotherapy use by ODX RS and pathologic N stage. RESULTS: In women with cN0 HR+/HER2- special histologic subtype breast cancer, the likelihood of pathologic nodal positivity is less than 5%, and 99.7% of patients had N0 or N1 disease. Among women aged ≥ 50 years with HR+/HER2- special histologic subtype breast cancer, there was low prevalence of high ODX RS > 25 in both N0 and N1 patients (7% overall). Receipt of chemotherapy correlated with Oncotype DX scores as anticipated, with the lowest use in women with a low/intermediate RS (from 2 to 6% for N0 and 6-24% for N1) and the highest use in women with high risk Oncotype scores (from 74 to 92%). CONCLUSIONS: Our study suggests that SLNB could potentially be omitted in select postmenopausal women with cT1-2 N0 HR+/HER2- special histologic subtype breast cancer when ODX RS is available.

Outcomes of a pilot virtual mentorship program for medical students interested in surgery.

BACKGROUND: Lack of mentorship may deter medical students who identify as underrepresented minorities (URM) from entering academic surgery. METHODS: 30 mentor-medical student pairs from the AWS 2020 virtual mentorship pilot-program were surveyed pre-and post-program to explore 1) feasibility of meetings, and, 2) program's perceived efficacy in fostering professional development skills. Participants responded using a 5-point Likert scale (1 = not at all; 5 = completely). Proportions of participants in each category were compared. RESULTS: Proportion of participants perceiving monthly meetings to be completely feasible did not differ from pre-to post-program surveys for mentees (75%(21/28) vs. 71%(12/17); p = 0.743) or mentors (71%(17/24) vs 71%(13/18); p = 1.00). Compared to pre-program responses, mentees endorsed "completely" (Likert scale 5) improving with regard to their elevator speech (p = 0.001), developing their curriculum vitae (p = 0.003), ability to network (p = 0.021), and acquiring skills for career advancement (p = 0.003). CONCLUSION: Virtual mentorship may be a feasible and effective means of increasing access to mentors for URM medical students.

Five decades of progress in surgical oncology: Breast.

Surgery remains the single most effective treatment for breast cancer but coincident with a deeper understanding of tumor biology and advances in multidisciplinary care (encompassing breast imaging, systemic adjuvant therapy, radiotherapy, and genomics) continues to de-escalate, supported by strong level I data. We have moved from mastectomy to breast conservation, and from routine axillary dissection to sentinel lymph node biopsy to selective omission of axillary node staging altogether. We have further de-escalated through consensus over margin width in breast conservation, through improvements in neoadjuvant therapy, and by demonstrating no benefit for upfront surgery in patients with stage IV disease. For patients with ipsilateral breast tumor recurrence, reconservation surgery and reirradiation are promising. Cell cycle and immune checkpoint inhibitors, when added to conventional systemic therapy, have now moved beyond stage IV disease to phase III trials in the adjuvant and neoadjuvant settings, promising even further de-escalation of surgery. Finally, with genomic profiling we are moving away from the primacy of axillary node status for prognostication and into a new era allowing prediction of response to therapy.

The role of B cells in the development, progression, and treatment of lymphomas and solid tumors.

B cells are integral components of the mammalian immune response as they have the ability to generate antibodies against an almost infinite array of antigens. Over the past several decades, significant scientific progress has been made in understanding that this enormous B cell diversity contributes to pathogen clearance. However, our understanding of the humoral response to solid tumors and to tumor-specific antigens is unclear. In this review, we first discuss how B cells interact with other cells in the tumor microenvironment and influence the development and progression of various solid tumors. The ability of B lymphocytes to generate antibodies against a diverse repertoire of antigens and subsequently tailor the humoral immune response to specific pathogens relies on their ability to undergo genomic alterations during their development and differentiation. We will discuss key transforming events that lead to the development of B cell lymphomas. Overall, this review provides a foundation for innovative therapeutic interventions for both lymphoma and solid tumor malignancies.

Prevalence of Pathologic N2/N3 Disease in Postmenopausal Women with Clinical N0 ER+/HER2- Breast Cancer.

BACKGROUND: The RxPONDER trial demonstrated that the 21-gene recurrence score can be used to guide adjuvant systemic therapy decisions in postmenopausal women with pN1 ER+/HER2- breast cancer. As such, a sentinel lymph node biopsy (SLNB) may not provide systemic treatment-altering information for many patients, and omission of SLNB in patients with low probability of pN2/N3 disease could be considered. METHODS: Postmenopausal women (aged ≥ 50 years) diagnosed with cN0cM0, ER+/HER- breast cancer from 2013 to 2017 were identified in the National Cancer Database. The primary outcome was the prevalence of pN2/N3 disease. RESULTS: Of 325,692 postmenopausal women with cN0 ER+/HER2- breast cancer, 7106 (2.2%) were pN2/N3. In total, 81.7% had cT1 tumors, 16.8% T2, 1.3% T3, and 0.2% T4. In patients with T1 tumors, the prevalence of pN2/N3 disease was 1.2% compared with 17.2% in patients with T3/T4 tumors. In multivariable models, cT stage was the strongest predictor of pN2/N3 disease (adjusted odds ratio [aOR] 14.9 [12.1-18.4]). Lobular histology (aOR 2.4 [2.3-2.6]), higher grade (aOR 2.9 [2.6-3.1]), and young age (aOR 1.5 [1.3-1.7]) were also associated with increased prevalence of pN2/N3. We created a model using histology, grade, and T stage that stratifies patients with low prevalence of pN2/3 disease (< 1%) and those at high risk (> 20%). CONCLUSIONS: In postmenopausal women with cN0 ER+/HER2- breast cancer, the prevalence of pN2/N3 disease is low, indicating a potential opportunity to use the results of RxPONDER to extend criteria to omit SLNB. Prospective study is needed to determine safety, including risk of nodal recurrence, of omission of SLNB in carefully selected patients.